A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces
Surface curvature affects adhesion forces, deformations of surfaces in contact, leakage of mechanical seals, friction, wear, paintability, and electrical conductivity. However, potential benefits of surface curvature have not yet been fully utilized. One problem is the lack of comparison data helpin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Japanese Society of Tribologists
2019-02-01
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| Series: | Tribology Online |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/trol/14/1/14_8/_pdf/-char/en |
| _version_ | 1818432470286073856 |
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| author | Iman Maleki Marcin Wolski Tomasz Woloszynski Pawel Podsiadlo Gwidon Stachowiak |
| author_facet | Iman Maleki Marcin Wolski Tomasz Woloszynski Pawel Podsiadlo Gwidon Stachowiak |
| author_sort | Iman Maleki |
| collection | DOAJ |
| description | Surface curvature affects adhesion forces, deformations of surfaces in contact, leakage of mechanical seals, friction, wear, paintability, and electrical conductivity. However, potential benefits of surface curvature have not yet been fully utilized. One problem is the lack of comparison data helping to make an informed decision on the selection of curvature characterization method. In this paper, five multiscale curvature characterization methods, namely Nowicki, Bigerelle-Nowicki, Gleason-Heron, Kalin, and Bartkowiak are compared. The comparison was conducted on large image databases of computer-generated fractal surfaces, sine waves and real engineering surfaces. Specifically, the methods were evaluated for their ability to differentiate between surfaces that: (i) exhibit increasing curvature complexity, (ii) have varying curvatures at a single scale, and (iii) represent minute multiscale curvature changes encountered in real engineering applications. The results obtained indicate that the Bigerelle-Nowicki method exhibits the best overall performance. |
| first_indexed | 2024-12-14T16:05:43Z |
| format | Article |
| id | doaj.art-63d322d85d154d2d80d3d2c15f05f7c5 |
| institution | Directory Open Access Journal |
| issn | 1881-2198 |
| language | English |
| last_indexed | 2024-12-14T16:05:43Z |
| publishDate | 2019-02-01 |
| publisher | Japanese Society of Tribologists |
| record_format | Article |
| series | Tribology Online |
| spelling | doaj.art-63d322d85d154d2d80d3d2c15f05f7c52022-12-21T22:55:06ZengJapanese Society of TribologistsTribology Online1881-21982019-02-0114181710.2474/trol.14.8trolA Comparison of Multiscale Surface Curvature Characterization Methods for Tribological SurfacesIman Maleki0Marcin Wolski1Tomasz Woloszynski2Pawel Podsiadlo3Gwidon Stachowiak4Tribology Laboratory, School of Civil and Mechanical Engineering, Curtin UniversityTribology Laboratory, School of Civil and Mechanical Engineering, Curtin UniversityTribology Laboratory, School of Civil and Mechanical Engineering, Curtin UniversityTribology Laboratory, School of Civil and Mechanical Engineering, Curtin UniversityTribology Laboratory, School of Civil and Mechanical Engineering, Curtin UniversitySurface curvature affects adhesion forces, deformations of surfaces in contact, leakage of mechanical seals, friction, wear, paintability, and electrical conductivity. However, potential benefits of surface curvature have not yet been fully utilized. One problem is the lack of comparison data helping to make an informed decision on the selection of curvature characterization method. In this paper, five multiscale curvature characterization methods, namely Nowicki, Bigerelle-Nowicki, Gleason-Heron, Kalin, and Bartkowiak are compared. The comparison was conducted on large image databases of computer-generated fractal surfaces, sine waves and real engineering surfaces. Specifically, the methods were evaluated for their ability to differentiate between surfaces that: (i) exhibit increasing curvature complexity, (ii) have varying curvatures at a single scale, and (iii) represent minute multiscale curvature changes encountered in real engineering applications. The results obtained indicate that the Bigerelle-Nowicki method exhibits the best overall performance.https://www.jstage.jst.go.jp/article/trol/14/1/14_8/_pdf/-char/ensurface roughnessmulti-scalefractalssurface curvature |
| spellingShingle | Iman Maleki Marcin Wolski Tomasz Woloszynski Pawel Podsiadlo Gwidon Stachowiak A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces Tribology Online surface roughness multi-scale fractals surface curvature |
| title | A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces |
| title_full | A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces |
| title_fullStr | A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces |
| title_full_unstemmed | A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces |
| title_short | A Comparison of Multiscale Surface Curvature Characterization Methods for Tribological Surfaces |
| title_sort | comparison of multiscale surface curvature characterization methods for tribological surfaces |
| topic | surface roughness multi-scale fractals surface curvature |
| url | https://www.jstage.jst.go.jp/article/trol/14/1/14_8/_pdf/-char/en |
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